Corporate- AI Engineer
RHP Properties
Description
Who is RHP Properties?
- Design, build and deploy AI agents and copilots (chat, voice, email, workflow, automation)
- Develop LLM-powered applications using modern frameworks (e.g., LangChain, Semantic Kernel)
- Implement RAG architectures using vector databases and enterprise data sources
- Build predictive models for forecasting, anomaly detection, and optimization
- Integrate AI systems with APIs, databases, and enterprise platforms
- Help define and evolve RHP's AI roadmap and use-case prioritization
- Identify high-impact opportunities for automation and AI-driven transformation
- Stay current with the lates advancements in LLMs, agentic AI, MCP, RAG and automation ecosystems
- Evaluate emerging tools, frameworks, and vendors for enterprise adoption
- Educate and mentor teams on how to effectively use AI in their workflows
- Conduct workshops, demos, and AI office hours
- Enable teams to move from manual processes ? AI-augmented workflows
- Act as a go-to internal expert for AI-related initiatives
- Translate complex AI concepts into clear, actionable business insights
- Communicate effectively with both technical and non-technical stakeholders
- Bridge the gap between business teams, data, and IT
- Act as a change agent driving adoption of AI across the organization
- Help teams reimagine workflows using AI, not just optimize existing ones
- Influence stakeholders and build alignment around AI initiatives
- Deploy and operationalize AI systems in production environments
- Monitor performance, accuracy, cost, and reliability
- Ensure adherence to responsible AI, data governance, and security standards
- Document architecture, workflows, and usage guidelines
- Perform other duties and projects, as assigned
- 2-4+ years in Applied AI, Data Science, or AI Engineering
- Proven experience building and deploying real-world AI or automation solutions
- Demonstrated ability to take solutions from concept to production
- Portfolio or examples of AI systems (agents, copilots, automation tools) preferred
- Strong Python programming (AI/ML, automation, APIs) experience
- Experience building real-world AI applications or automation systems
- Hands-on experience with LLMs and prompt engineering
- Familiarity with:
- Agent-based systems and orchestration frameworks
- RAG architectures and vector databases
- MCP (Model Context Protocol) or similar emerging paradigms
- Strong SQL and data manipulation skills
- Experience with API integrations
- Understanding of machine learning fundamentals
- Experience with platforms such as OpenAI, Anthropic, or similar
- Excellent internal and external customer service skills
- Extremely detailed oriented individual with high quality standards
- Ability to multitask and be a team player in a fast-paced environment
- Access to benefits including medical, dental and vision insurance
- Short-term and long-term disability
- Life insurance
- Generous Paid Time Off and holidays
- Flexible spending account
- 401K with company match
Vacancy posted 3 days ago
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